Kalman filter with recursive covariance estimation for protection against system uncertainty-Reference-Cited by-同舟云学术

Kalman filter with recursive covariance estimation for protection against system uncertainty

Published:2020-09-02 Issue:15 Volume:14 Page:2097-2105
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Xiao Xuan¹,Shen Kai¹^ORCID,Liang Yuan²,Liu Tingxin¹

Affiliation:

1. School of AutomationBeijing Institute of TechnologySouth Street of ZhongguancunBeijingPeople's Republic of China

2. School of Automation Science and Electrical EngineeringBeihang UniversityXueyuan RoadBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2019.1476

Reference42 articles.

1. On existence, optimality and asymptotic stability of the Kalman filter with partially observed inputs

2. Optimal Distributed Kalman Filtering Fusion With Singular Covariances of Filtering Errors and Measurement Noises

3. Kalman Filter With Recursive Covariance Estimation—Sequentially Estimating Process Noise Covariance

4. Approaches to adaptive filtering

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